Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
edicate Abstraction and Induction Edmund Clarke Daniel Kroening June 25, 2004 CMU-CS-04-131 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 It is common...
The development of a family of applications in a domain can be greatly eased if patterns in the domain are systematically reused. Systematic use of such a pattern can be achieved ...